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Background

I have a background in a broad range of computer-related technologies. My first degree is in Computer Science with Electronic Engineering, from University College London, and I received my PhD from Cambridge University Engineering Department in the area of Robotics and Computer Vision.

Prior to joining Microsoft Research, Cambridge, I was the Technical Director of the Cambridge Auto-ID Lab, where I was involved with many activities, including the global research programme, the US Field Trial, the hardware-oriented action groups and privacy and IP policy development. Due to its success, the work of the Auto-ID Lab has been handed over to GS1 (formerly UCC.EAN, the barcode custodians). I have co-authored and presented a number of Auto-ID Centre white papers, and I have also given presentations to a wide range of audiences on the Auto-ID and EPC system. I was a founding director of the easyEPC RFID training and consultancy company.


AT&T.

I worked as a Research Engineer for a number of years at the Olivetti and Oracle Research Lab, which became AT&T Laboratories Cambridge before eventually shutting down in 2002. This lab was internationally recognised as a centre of excellence across a broad range of advanced research into communications, multimedia and mobile technologies.

I also worked at the Xerox Research Centre Europe at Cambridge (formerly known as EuroPARC) as an Intern and as a Contractor in 1993.



Research Interests

My current, active research interests include:

  • Radio frequency identification (RFID)
  • Embedded sensor systems
  • Embedded, real-time kernels and development support
  • Low-power radio communication
  • Automotive telematics
  • Mass customisation of consumer products
  • Human-computer/device interaction
  • Computer augmented environments
  • Ambient displays
  • Computer-mediated social connectivity

I also continue to maintain an interest in a range of topics relating to previous work:

  • Battery and charging technologies
  • Location systems
  • EPC Network architecture
  • Mobile robotics
  • Image processing
  • Low-cost robotic automation
  • PCB assembly
  • Intelligent industrial automation

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